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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
Topic 2	Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
Topic 3	Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
Topic 4	Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.
Topic 5	How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.

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Microsoft GitHub Copilot Sample Questions (Q118-Q123):

NEW QUESTION # 118
What two options navigate to configure duplicate detection? (Each correct answer presents part of the solution. Choose two.)

A. Enterprise settings # Copilot # Policies
B. User settings # Copilot # Policies
C. Organization settings # Copilot # Policies
D. Repository settings # Copilot # Policies

Answer: A,C

Explanation:
"Duplicate detection and blocking of public code matches can be configured by enterprise administrators in enterprise or organization-level Copilot policies." This confirms that enterprise and organization settings are the correct paths.
References: GitHub Copilot policy configuration documentation.

NEW QUESTION # 119
Why is code reviewing still necessary when using GitHub Copilot to write tests?

A. Because GitHub Copilot can cover all possible scenarios in your test cases.
B. Because GitHub Copilot's generated test cases may not cover all possible scenarios.
C. Because GitHub Copilot generates the best code possible for the test scenario.
D. Because GitHub Copilot replaces the need for manual testing.

Answer: B

Explanation:
Code review is necessary because GitHub Copilot's generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.

NEW QUESTION # 120
Which of the following are true about code suggestions? (Each correct answer presents part of the solution.
Choose two.)

A. Code suggestions are guaranteed to not expose known security vulnerabilities
B. You can use keyboard shortcuts to accept the next word in a suggestion
C. Alternative code suggestions can be shown in a new tab
D. Code suggestions will always compile or run without modifications
E. Code suggestions are limited to single-line suggestions

Answer: B,C

Explanation:
Exact extracts:
* "You can accept individual words, lines, or entire suggestions with keyboard shortcuts." References: GitHub Copilot editor usage documentation.

NEW QUESTION # 121
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

A. Migrate Copilot seat assignments between GitHub organizations
B. Add teams to the Copilot subscription for an organization
C. Reassign Copilot seats based on GitHub repository size
D. Remove teams from the Copilot subscription for an organization
E. Upgrade or downgrade the subscription tier

Answer: B,D

NEW QUESTION # 122
How can the concept of fairness be integrated into the process of operating an AI tool?

A. Training AI data and algorithms to be free from biases will ensure fairness.
B. Focusing on collecting large datasets for training will ensure fairness.
C. Focusing on accessibility will ensure fairness.
D. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Answer: A

Explanation:
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.
Reference: Microsoft's AI principles and fairness guidelines.

NEW QUESTION # 123
......

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